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Machine Translation on OPUS-100 (test)

39.1Average BLEU ScoreTrue (Ground Truth)
3.68812.881522.07531.2685May 20, 2021Sep 20, 2021Jan 21, 2022May 25, 2022Sep 25, 2022Jan 26, 2023May 30, 2023

Evaluation results

MethodLinks
True (Ground Truth)Segmentation Protocol=Ground Truth, MT Model=OPUS-MT, Paragraph Size=10 sentences2023.0539.1—44—48.4—————37.5———48.837.743.728.939.218.622.354.129.127.161.2———————————
WtPPUNCTSegmentation Protocol=WtPPUNCT model, MT Model=OPUS-MT, Paragraph Size=10 sentences2023.0537.6—40.8—47—————37.2———47.237.643.228.832.716.221.553.62922.656.8———————————
ErsatzSegmentation Protocol=Ersatz segmentation tool, MT Model=OPUS-MT, Paragraph Size=10 sentences2023.0535.3—38—44.8—————36.8———44.836.643.128.328.17.9—51.328.5—————————————
BranchNorm#Layers=1000, #Params=3.8B2023.0532.3————————————3529.6—————————————————————
DeepNorm#Layers=1000, #Params=3.8B2023.0532.1————————————33.930.2—————————————————————
DeepNorm (reimplemented)#Layers=1000, #Params=3.8B2023.0532.1————————————34.829.4—————————————————————
BranchNorm#Layers=200, #Params=863M2023.0531.4————————————34.228.5—————————————————————
DeepNorm#Layers=200, #Params=863M2023.0531.1————————————33.229—————————————————————
DeepNorm (reimplemented)#Layers=200, #Params=863M2023.0531.1————————————33.928.2—————————————————————
Pre-LN#Layers=1000, #Params=3.8B2023.0531————————————3428—————————————————————
Pre-LN#Layers=200, #Params=863M2023.0530.5————————————34.626.4—————————————————————
Baseline#Layers=48, #Params=254M2023.0527.7————————————31.424—————————————————————
NaïveSegmentation Protocol=10 equally long sequences, MT Model=OPUS-MT, Paragraph Size=10 sentences2023.0526.7—29.4—35.6—————31.5———26.725.533.520.121911.643.418.721.431.7———————————
Baseline#Layers=24, #Params=173M2023.0526.2————————————29.522.9—————————————————————
Baseline#Layers=12, #Params=133M2023.0524.5————————————27.521.4—————————————————————
NoneSegmentation Protocol=Entire paragraph (no splitting), MT Model=OPUS-MT, Paragraph Size=10 sentences2023.0522.8—16.4—27.4—————31.8———21.830.637.320.88.73.20.630.322.44.417.4———————————
Pivotmode=pivot-based (X->En then En->Y), base_model=m-Transformer2021.0515.565.51728.516.42.2626.122.314.414.216.619.9———————————————————————
mRASP2mode=zero-shot, tokenization=de-tokenized (sacreBLEU)2021.0515.315.317.32914.55.36.123.621.712.31516.419.1———————————————————————
m-Transformermode=zero-shot, tokenization=de-tokenized (sacreBLEU)2021.055.053.75.66.74.12.36.37.74.84.24.85.74.8———————————————————————
DirectMode=Fine-tuning2020.10—————————————————————————1.50.600.26.15.811.710.124.226.24.5
mRASPMode=Fine-tuning2020.10—————————————————————————13.416.21.87.321.325.530.732.925.227.518.6